Search for dissertations about: "Dynamisk programmering"
Showing result 1 - 5 of 16 swedish dissertations containing the words Dynamisk programmering.
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1. An architecture for diagnostic reasoning based on causal models
Abstract : This thesis proposes an architecture for diagnostic reasoning employing causal models. The architecture embodies a knowledge representation at the problem-solving layer. That is, the way a problem is solved—in this case to arrive at a diagnosis—is an integral part of the knowledge representation. READ MORE
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2. Efficient Trading in the Short-term Electricity Markets for Integration of Renewable Energy Sources : Multistage Stochastic and Agent-based Modeling Approaches for Continuous Intraday Electricity Market
Abstract : This thesis investigates the role of different short-term electricity market design aspects that can facilitate better coordination of resources within the power system. The work also emphasizes on better cross-border integration of the short-term markets to improve the market liquidity, competition, social welfare, and flexibility in the system, which is essential for facilitating the integration of renewable sources. READ MORE
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3. Approximate Solution Methods to Optimal Control Problems via Dynamic Programming Models
Abstract : Optimal control theory has a long history and broad applications. Motivated by the goal of obtaining insights through unification and taking advantage of the abundant capability to generate data, this thesis introduces some suboptimal schemes via abstract dynamic programming models. READ MORE
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4. Optimal Speed and Powertrain Control of a Heavy-Duty Vehicle in Urban Driving
Abstract : A major challenge in the transportation industry is how to reduce the emissions of greenhouse gases. One way of achieving this in vehicles is to drive more fuel-efficiently. READ MORE
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5. Distributed Stochastic Programming with Applications to Large-Scale Hydropower Operations
Abstract : Stochastic programming is a subfield of mathematical programming concerned with optimization problems subjected to uncertainty. Many engineering problems with random elements can be accurately modeled as a stochastic program. In particular, decision problems associated with hydropower operations motivate the application of stochastic programming. READ MORE